This filter creates superpixels based on k-means clustering.
Superpixels are small cluster of pixels that share similar properties. Superpixels simplifies images with a great number of pixels making them more easy to be treated in many domains (computer vision, pattern recognition and machine intelligence). GIMP's aim is more humble: create a posterization effect.
k-means clustering is one of the most used algorithms to create superpixels. Superpixel color is the mean of pixels color in the corresponding region.
- Presets, “Input Type”, Clipping, Blending Options, Preview, Merge filter, Split view
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![[Note]](images/note.png)
Note These options are described in Section 2, “Common Features”.
- Regions size
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Increasing regions size collects more pixels, and so superpixels size increases also.
- Compactness
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Superpixels borders may be irregular. Increasing this option gives superpixels more regular border.
- Iterations
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How many times filter is repeated. Increasing this value gives more details.
